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Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data
Author(s) -
Hiraku Kumamaru,
Jessica J. Jalbert,
Louis L. Nguyen,
Lauren Williams,
Hiroaki Miyata,
Soko Setoguchi
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0272975
Subject(s) - propensity score matching , confounding , medicine , statistics , comparative effectiveness research , real world data , computer science , mathematics , data science , pathology , alternative medicine

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